Patrick Zschech
Title
Cited by
Cited by
Year
A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics
P Zschech
26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018
242018
Das aufstrebende Berufsbild des Data Scientist
C Schumann, P Zschech, A Hilbert
HMD Praxis der Wirtschaftsinformatik 53 (4), 453-466, 2016
152016
Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting
K Heinrich, A Roth, P Zschech
27th European Conference on Information Systems (ECIS), Stockholm, Schweden, 2019
122019
Data Science Skills and Enabling Enterprise Systems
P Zschech, V Fleißner, N Baumgärtel, A Hilbert
HMD Praxis der Wirtschaftsinformatik 55 (1), 163-181, 2018
92018
Intelligent User Assistance for Automated Data Mining Method Selection
P Zschech, R Horn, D Höschele, C Janiesch, K Heinrich
Business & Information Systems Engineering 62 (3), 227–247, 2020
72020
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems
K Heinrich, P Zschech, T Skouti, J Griebenow, S Riechert
25th Americas Conference on Information Systems (AMCIS), 2019
72019
How Much AI Do You Require? Decision Factors for Adopting AI Technology
J Wanner, K Heinrich, C Janiesch, P Zschech
41st International Conference on Information Systems (ICIS), India, 2020
62020
Towards a Text-based Recommender System for Data Mining Method Selection
P Zschech, K Heinrich, R Horn, D Höschele
25th Americas Conference on Information Systems (AMCIS), 2019
62019
Objekterkennung im Weinanbau: Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning
K Heinrich, P Zschech, B Möller, L Breithaupt, J Maresch
HMD Praxis der Wirtschaftsinformatik 56 (5), 964-985, 2019
62019
Predictive Maintenance in der industriellen Praxis: Entwicklung eines Prognoseansatzes unter eingeschränkter Informationslage
R Bink, P Zschech
HMD Praxis der Wirtschaftsinformatik 55 (3), 552-565, 2018
62018
Are You Up for the Challenge? Towards the Development of a Big Data Capability Assessment Model
P Zschech, K Heinrich, M Pfitzner, A Hilbert
25th European Conference on Information Systems (ECIS), 2613-2624, 2017
62017
Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA’s Turbofan Degradation
P Zschech, J Bernien, K Heinrich
40th International Conference on Information Systems (ICIS), Munich, Germany, 2019
52019
Machine learning and deep learning
C Janiesch, P Zschech, K Heinrich
Electronic Markets, 1-11, 2021
42021
Constituent Elements for Prescriptive Analytics Systems
K Stefani, P Zschech
26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018
42018
Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels …
P Zschech, C Sager, P Siebers, M Pertermann
HMD Praxis der Wirtschaftsinformatik 58 (2), 321-342, 2021
32021
Fool Me Once, Shame On You, Fool Me Twice, Shame on Me: A Taxonomy of Attack and Defense Patterns for AI Security
K Heinrich, J Graf, J Chen, J Laurisch, P Zschech
28th European Conference on Information Systems (ECIS), Marrakesh, Morocco, 2020
32020
Review and Systematization of Solutions for 3D Object Detection
J Friederich, P Zschech
15. Internationale Tagung Wirtschaftsinformatik, 2020
32020
Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification
K Heinrich, C Janiesch, B Möller, P Zschech
Pre-ICIS SIGDSA Symposium, 2019
32019
Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning
P Zschech, K Heinrich, R Bink, JS Neufeld
Business & Information Systems Engineering 61 (3), 327–343, 2019
32019
Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe
M Könning, K Heinrich, P Zschech, C Leyh
24th Americas Conference on Information Systems (AMCIS), 2018
32018
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Articles 1–20